“almost significant”

Moreover, patients with genotype TC were likely to have higher age-at-onset migraine than patients with the wild type. Associations in the subgroups with aura In all migraine cohorts with aura, 3 SNPs had P < 5 E-08 (rs77630941 in CUX1 , rs146778855 in CDH18 , and rs117608715 in NOL3 ) and 1 SNP (rs150592309 in PRAP1 ) were almost significant in the aura groups ( P = 6.66 E-10, P = 1.21 E-08, P = 1.78 E-08, P = 8.88 E-08, respectively in Fig. 4 A–D).

Another almost significant epistatic interaction (P = 2.42E-07) was also identified between these same markers for total branches at harvest.

Exploratory factor analysis The KMO was 0.852, and Bartlett’s test of sphericity was almost significant; Chi-square (28) = 908.645, and P <0.0001.

Other cardiovascular risk predictors directly related to CP with significant or almost significant values were age (p < 0.001), disease duration (p = 0.003), HTN (p = 0.053), presence of MetS (p = 0.066), serum levels of C3 (p = 0.016), and the Framingham risk score (p < 0.001).

The ANOVA output of the ABCD test versions indicated highly significant differences between the subjects ( p <0.001, CI = 0.160, 0.244), almost significant differences between the age groups ( p = 0.052, CI = 0.002, 0.235), and no significant differences between the parallel test versions ( p = 0.120, CI A − B = -0.013, 0.078, CI A − C = -0.061, 0.029, CI A − D = -0.017, 0.073).

When we took into account study designs, the meta-analysis yielded no association between NSW and BC in cohort studies (pooled effect estimate = 1.04, 95%CI = 0.91–1.18, I 2 = 36.3%, p = 0.139); for nested case–control studies, it showed an almost significant risk increase, although with high heterogeneity (pooled effect estimate = 1.34, 95%CI = 0.96–1.88, I 2 = 82.2%, p < 0.001); and, finally, in case–control studies, the pooled risk indicated an excess risk of BC among exposed women (pooled effect estimate = 1.22, 95%CI = 1.01–1.48, I 2 = 0.0%, p = 0.613).

When we run a 2 × 2 analysis of variance (ANOVA) with randomization and layout factors for accuracy and reaction time separately, we found both main factors significant or almost significant [randomization F (1, 14) = 16.1, p < 0.001; layout F (1, 14) = 4.4, p = 0.056 for accuracy, and randomization F (1, 14) = 55.8, p < 0.001; layout F (1, 14) = 28.1, p < 0.001 for RT] and no interaction between them [ F (1, 14) = 0.1, ns for accuracy, and F (1, 14) = 1.2, p = 0.29 for RT].

Group differences were considered highly significant, significant, and almost significant when the probabilities (p) of error in rejecting the null hypothesis were p < 0.001, p < 0.01, and p < 0.05, respectively.

ANOVA has revealed a highly significant effect of age group (p < 0.001) and a almost significant effect of sex (p = 0.067) and age X sex interaction (p = 0.003).

Social confrontations had a significant impact on saliva cortisol levels in relation to the dietary treatments and an almost significant impact in relation to the sexes (diet: F 2,53 = 8.514, p < 0.001; sex: F 1,53 < 0.001; p = 0.982; time: F 1,55 = 23.437, p < 0.001; diet:sex: F 2,53 = 1.980, p = 0.148; diet:time: F 2,55 = 5.106, p = 0.009; sex:time: F 1,55 = 3.984, p = 0.051) (Fig. 3 ).

The secondary outcome of mortality was almost significant overall ( p = 0.07) and highly significant for people receiving supplemental oxygen at enrollment ( p = 0.002), suggesting a mortality benefit concentrated in this group.

However, L139* was almost significant in the Benjamini-Hochberg procedure (threshold P value: 1/20 × 0.05 = 0.0025; t -test result: t 4 = 6.565, P = 0.0028), suggesting this decrease in TEM messenger level might be real.

There was a highly significant improvement in fatigue at week 4, compared to baseline, in the group on the active drug (p = 0.005), and an almost significant improvement in the placebo treated group, p = 0.053 (Friedman Test), Figure 2 .

Eloquence was almost significant in univariate analysis with OR = 2.4; P = 0.0050, and 95% CI: 1.002, 5.751.

Changes in rHb showed an almost significant difference between groups ( p = 0.005) with an increase of +13.0% (CI: 1.088–1.172) in group 1 compared to +8.6% (1.054–1.118) for group 2 and +6.9% (1.044–1.094) for group 3.

No difference between these deltas was observed for children in 1st grade and an almost significant increase ( P = 0.0057) among children in 2nd grade 2011 from intervention schools.

Women with mixed symptoms had almost significant higher CGI severity than women without mixed symptoms ( p = 0.006).

The aforementioned association between higher likelihood of staying at the Care Hotel and longer distance travelled to the hospital strengthened slightly in multivariable analysis and was almost significant after multiple testing correction [OR (per each doubling)=1.10, P =0.007].

While the KD and SD group displayed no significant effect of diet type on creatinine, glomerular filtration rate (GFR), and uric acid in, the LCD group experienced a significant decrease in creatinine, an almost significant reduction in uric acid ( p = 0.008), and a significant increase in GFR.

Almost significant improvements were observed in the ExG in upper limb flexibility, namely in the one with worst scores at start (MD [95% CI]: ExG – 3.6 cm [0.9; 6.4], p = 0.009).

The levels of significance were set at P < 0.05 (almost significant) and P < 0.01 (significant).

The difference between the two groups was almost significant (p < 0.01).

The main load coefficients of the model are almost significant ( p < 0.01).

The levels of significance were P < 0.05 (almost significant) and P < 0.01 (significant). 3.

With the exclusion of three individuals with abnormal ABI because of higher values, the risk ratios increased and were almost significant in the full model: RR 18.7 (95% CI: 1.96-198.5; P = 0.01) when adjusted for age and RR 10.7 (95% CI: 0.89-129.1; P = 0.06) when adjusted for age, diabetes and 24-hour systolic blood pressure.